How to use AI to analyse customer sentiment and reviews

Dashboards nobody reads are expensive wallpaper. Reports matter when they drive a decision in a short meeting: few metrics, an owner per number, one closed action.

Cut decorative charts. Keep at most three KPIs tied to the process you are changing. If nobody acts, simplify again.

From data to action

Pick KPIs the team can influence this month. Agree a weekly ritual. Write the action next to each red number.

Retire metrics that never change behaviour. A short living report beats a bi-annual PDF nobody opens.

How you know you are improving

Do not multiply dashboards. Pick a few indicators tied to the process you are touching — on use AI to analyse customer sentiment, cycle time, output quality and adoption of the official flow usually suffice. Set baseline in week zero. Review at thirty days. If numbers do not move, change process and inputs before you change the tool.

A detail that makes the difference

Block calendar time for the pilot. Without dedicated slots the project stays «between other things» and never really starts. The operating owner updates status every week in five minutes: done, blocked, next step. It is not elegant. It works.

What to leave out on purpose

The first release is not the moment to prove everything the tool can do. Leave out features without an owner, integrations to little-used systems, automations on rare exceptions and aesthetic reports not tied to a decision. Expanding after the numbers is courage. Expanding before is anxiety dressed as ambition.

Dirty data, dirty results

If records and inputs are messy, any automation or language model amplifies the mess. Dedicate an explicit block to minimal clean-up on the MVP perimeter: duplicates, required fields, out-of-range values. That is not «IT work». It is operational truth.

Training that sticks

Short sessions on the team's real cases. A checklist within reach. A super-user per area for the first fifteen days. Avoid catalogue courses that end in a certificate and zero change the following Tuesday.

Dirty data, dirty results

If records and inputs are messy, any automation or language model amplifies the mess. Dedicate an explicit block to minimal clean-up on the MVP perimeter: duplicates, required fields, out-of-range values. That is not «IT work». It is operational truth.

Training that sticks

Short sessions on the team's real cases. A checklist within reach. A super-user per area for the first fifteen days. Avoid catalogue courses that end in a certificate and zero change the following Tuesday.

How you know you are improving

Do not multiply dashboards. Pick a few indicators tied to the process you are touching — on use AI to analyse customer sentiment, cycle time, output quality and adoption of the official flow usually suffice. Set baseline in week zero. Review at thirty days. If numbers do not move, change process and inputs before you change the tool.

A detail that makes the difference

Block calendar time for the pilot. Without dedicated slots the project stays «between other things» and never really starts. The operating owner updates status every week in five minutes: done, blocked, next step. It is not elegant. It works.

What to leave out on purpose

The first release is not the moment to prove everything the tool can do. Leave out features without an owner, integrations to little-used systems, automations on rare exceptions and aesthetic reports not tied to a decision. Expanding after the numbers is courage. Expanding before is anxiety dressed as ambition.

A detail that makes the difference

Block calendar time for the pilot. Without dedicated slots the project stays «between other things» and never really starts. The operating owner updates status every week in five minutes: done, blocked, next step. It is not elegant. It works.

Practical schema to bring to a meeting

Short version to bring to a meeting.

Steps

1. Write the business goal in one sentence + out of scope.
2. Name owner and sponsor.
3. Define an MVP with acceptance criteria.
4. Run a real-user pilot and log exceptions.
5. Review KPIs; go/no-go on expansion.

Quick checklist

• Goal written down.
• Owner active.
• MVP defined.
• Pilot planned.
• KPI baseline set.

KPIs (max three)

• Average process time (before/after).
• Error or rework rate.
• % usage of the official flow.

Practical value (and the next step)

Reports matter if they lead to a decision. Practical value is a few metrics read in a meeting and one closed action — not decorative dashboards.

Pick at most three KPIs, a weekly ritual and an owner for each number. If nobody acts on the report, simplify further.

If you want a second opinion on the scope of your case, Foggetti Studio can help you read the current state and define a realistic MVP.